Google Earth Engine: Reference

Anyone can sign up for Google Earth Engine, just apply to be a trusted tester.

The Code Editor is a user friendly access point for Earth Engine that uses the JavaScript IDE.

JavaScript is a programming language that is also widely used in web development.

Google Earth Engine is a powerful tool for analyzing remote sensing imagery.

GEE’s data catalog hosts a formidable variety of earth observation data.

GEE is changing how we understand and study the Earth.

The Code Editor is a one stop shop for accessing GEE data catalog and conducting geospatial analysis.

You can use the code editor to develop, share and manage scripts.

You can use the code editor to import, export, share and manage your own personal raster and vector datasets

Use the Docs tab, Example scripts and the HELP button to access the User Guides and Help Forum

Regional satellite data can be accessed by loading a full image collection and filtering based on criteria such as time period and location

Images can be manipulated similar to raster math, and new bands can be calculated by mapping functions over image collections

Image composites can be generated quite quickly

Images and tables can be exported for future use within GEE or for outside software

GEE hosts a wide variety of useful spatial datasets

Reducers aggregate or summarize data in space and time

There are several ways to use vector data in GEE

Results can be exported to Google Drive or Google Cloud

Time series data can be extracted and plotted from Image Collections for points and regions.

GEE has increasing functionality for making interactive plots.

The User Interface can be modified through the addition of widget.

SAR data can be classified to show changes in inundated area, even in cloudy conditions

Interactive plots can help rapidly explore timeseries imagery.

Google Earth Engine is a planetary-scale geospatial analysis platform.

The Developers Guide has wide collection of documentation and example codes.

The Developers Forum can be used to post questions or answer questions about GEE code.

The Code Editor and GEE website contain many resources including the data catalog, code documentation and places for user feedback.

GEE can be used for both supervised and unsupervised image classification.

The general workflow for classification includes gathering training data, creating a classifier, training the classifier, classifying the image, and then estimate error with an independent validation dataset.

Confusion matrices can be used to assess the accuracy of supervised classifiers but should be used with caution.